1. R
Download link: http://www.r-project.org/
It's a programming language and environment for statistical computing and graphics.
2. ViSta
Download link: http://www.visualstats.org/
It's a Visual Statistics program for Windows, Mac and Linux/Unix, developed by Prof. Dr. Forrest W. Young at the University of North Carolina.
3. OpenStat (SPSS-like user interface)
Download link: OpenStat
It's a general stats package for all Windows versions (including Win 7 and Win 8) and for Linux systems (under Wine), developed by Bill Miller of Iowa State U, with a very broad range of data manipulation and analysis capabilities and an SPSS-like user interface.
4. PSPP (SPSS-like user interface)
Download link: PSPP
It's a free replacement for SPSS (although at this time it implements only a small fraction of SPSS's analyses). But it's free, and will never "expire". It replicates the "look and feel" of SPSS very closely, and even reads native SPSS syntax and files.
5. RStudio
Download link: RStudio
It integrates the comprehensive state-of-the-art statistical package R with a superb user interface, available both as desktop application and as a browser-based server application.
Download link: PSPP
It's a free replacement for SPSS (although at this time it implements only a small fraction of SPSS's analyses). But it's free, and will never "expire". It replicates the "look and feel" of SPSS very closely, and even reads native SPSS syntax and files.
5. RStudio
Download link: RStudio
It integrates the comprehensive state-of-the-art statistical package R with a superb user interface, available both as desktop application and as a browser-based server application.
6. BUGS
Download link: BUGS
Bayesian inference using Gibbs sampling. The most important software package for making Bayesian methods accessible to most users. Alastair Stevens, Cambridge University.
Download link: BUGS
Bayesian inference using Gibbs sampling. The most important software package for making Bayesian methods accessible to most users. Alastair Stevens, Cambridge University.
7. MacAnova
Download link: MacAnova
It's an interactive statistical analysis program in the spirit of S for Macintosh, DOS/Windows and Unix. It performs mathematical and statistical analysis such as analysis of variance and related models, matrix algebra, time series, and to a lesser extent exploratory statistics.
Download link: MacAnova
It's an interactive statistical analysis program in the spirit of S for Macintosh, DOS/Windows and Unix. It performs mathematical and statistical analysis such as analysis of variance and related models, matrix algebra, time series, and to a lesser extent exploratory statistics.
8. PAST
Download link: PAST
It's a free software for scientific data analysis, with functions for data manipulation, plotting, univariate and multivariate statistics, ecological analysis, time series and spatial analysis, morphometrics and stratigraphy.
9. Regress+
Download link: Regress +
It's a free nonlinear estimation / curve fitting / modeling program for Macintosh Computers, developed by Michael P.McLaughlin. It has many built in deterministic and stochastic models and allows user defined models with up to 10 parameters.
Download link: Regress +
It's a free nonlinear estimation / curve fitting / modeling program for Macintosh Computers, developed by Michael P.McLaughlin. It has many built in deterministic and stochastic models and allows user defined models with up to 10 parameters.
10. Smith's Statistical Package (SSP)
Download link: SSP
It's a simple, user-friendly package for Mac and Windows that can manipulate data, calculate basic summaries, prepare charts, evaluate distribution function probabilities, perform simulations, compare means & proportions, do ANOVA's, Chi Square tests, simple & multiple regressions.
Download link: SSP
It's a simple, user-friendly package for Mac and Windows that can manipulate data, calculate basic summaries, prepare charts, evaluate distribution function probabilities, perform simulations, compare means & proportions, do ANOVA's, Chi Square tests, simple & multiple regressions.
11. AM Statistical Software
Download link: AM Statistical Software
It's a free software for analysing data from large-scale assessments. Developed by American Institutes for Research
Download link: AM Statistical Software
It's a free software for analysing data from large-scale assessments. Developed by American Institutes for Research
12. DataPlot
Download link: DataPlot
It's a large statistical analysis and graphics package with command line and GUI.
Download link: DataPlot
It's a large statistical analysis and graphics package with command line and GUI.
13. Instat + (3.36)
Download link: Instat +
It is useful for researchers mainly in climatic data analysis. Developed by Statistical Services Centre at Reading University, UK
Download link: Instat +
It is useful for researchers mainly in climatic data analysis. Developed by Statistical Services Centre at Reading University, UK
14. MicrOsiris
Download link: MicrOsiris
It's a comprehensive statistical and data management package for Windows.Developed by University of Michigan.
Download link: MicrOsiris
It's a comprehensive statistical and data management package for Windows.Developed by University of Michigan.
15. BrightStat
Download link: BrightStat
It's a comprehensive Java-based statistics package running on the net. The aim was to provide a freely accessible statistic tool with many capabilities, yet easy to use.
Download link: BrightStat
It's a comprehensive Java-based statistics package running on the net. The aim was to provide a freely accessible statistic tool with many capabilities, yet easy to use.
Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has over 10 years of experience in data science. During his tenure, he worked with global clients in various domains like Banking, Insurance, Private Equity, Telecom and HR.
Thanks a lot for providing a very good statistical software. Please continue the same. I appreciate this overall group members(specially admin) who has created such a wonderful site for the useful information.
ReplyDeleteThank you for your appreciation :-)
DeleteThanks a lot for summarization. Must visit site for analytics professionals.
ReplyDeleteKeep up the good work
This is a great source for the data science aspirants and subject oriented information. Thank you Admin and all of the subject experts and supporters. Please continue your cooperation and great support.
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